EP0803726A2 - Verfahren und Vorrichtung zur Unterscheidung von Kohlesorten - Google Patents

Verfahren und Vorrichtung zur Unterscheidung von Kohlesorten Download PDF

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Publication number
EP0803726A2
EP0803726A2 EP97302810A EP97302810A EP0803726A2 EP 0803726 A2 EP0803726 A2 EP 0803726A2 EP 97302810 A EP97302810 A EP 97302810A EP 97302810 A EP97302810 A EP 97302810A EP 0803726 A2 EP0803726 A2 EP 0803726A2
Authority
EP
European Patent Office
Prior art keywords
coal
species
infrared rays
discriminating
coal species
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP97302810A
Other languages
English (en)
French (fr)
Other versions
EP0803726A3 (de
Inventor
Junichi Tohoku Elec.Power Co Inc. Yoshimura
Mitsuyuki Tohoku Elec.Power Co. Inc. Takahashi
Osamu Tohoku Elec.Power Co. Inc. Hatakeyama
Satoshi Tohoku Elec. Power Co. Inc Sugawara
Fumio c/o Kett Electric Lab. Kutsukake
Masatoshi Kett Electric Lab. Yokoyama
Takuya Kett Electric Lab. Kinoshita
Sadaji Japan Tobacco Inc. Kawazoe
Hiroshi Japan Tobacco Inc. Obara
Yasuo Japan Tobacco Inc. Saito
Yoriyuki Japan Tobacco Inc. Tsunakawa
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tohoku Electric Power Co Inc
Japan Tobacco Inc
Kett Electric Laboratory
Original Assignee
Tohoku Electric Power Co Inc
Japan Tobacco Inc
Kett Electric Laboratory
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP10760396A external-priority patent/JP3268972B2/ja
Priority claimed from JP25615096A external-priority patent/JP3283766B2/ja
Application filed by Tohoku Electric Power Co Inc, Japan Tobacco Inc, Kett Electric Laboratory filed Critical Tohoku Electric Power Co Inc
Publication of EP0803726A2 publication Critical patent/EP0803726A2/de
Publication of EP0803726A3 publication Critical patent/EP0803726A3/de
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S44/00—Fuel and related compositions
    • Y10S44/904—Method involving electric or wave energy

Definitions

  • the present invention relates to a method and apparatus of automatically identifying the species of coal (hereinafter referred to as "coal species"), i.e. discriminating a coal species from other coal species in a non-contact manner.
  • the property of coal varies according to its production area.
  • the coal can be roughly classified into anthracite (hard coal), bituminous coal (soft coal), lignite (brawn coal). etc. on the basis of the property of coal.
  • the coal was formed as a result that the fiber elements of plants stacked in the geological age were subjected to dehydrating reactions to be humificated.
  • the humification degree of coal increases with advancement of the brawn coal, bituminous coal and anthracite.
  • the coal rank increases to have a tendency of the volatile component becoming small. In this way, the contents or component of the coal vary with the degree of fumification.
  • the chemical analysis requires a relatively long time (three or four days) and skill.
  • the method using the chemical analysis was disadvantageous in a case where the coal species should be discriminated instantaneously, for example, the species of coal to be used as fuel in a fuel supply line for a boiler should be changed for combustion adjustment.
  • the coal species may be changed in a fuel supply line for e.g. a boiler. In this case, even if the property of coal can be discriminated, it was difficult to discriminate the coal species at issue from other coal species.
  • An object of the present invention is to provide a method and apparatus for discriminating a coal species in a non-contact manner.
  • Another object of the present invention is to provide a method and apparatus for discriminating a coal species at high accuracy without being affected by stray light and temperature on a on-line
  • a method of discriminating a coal species comprising the steps of: preparing discriminating values of coal species/properties corresponding to coal ranks; irradiating a coal to be discriminated with near-infrared rays having different wavelengths and receiving light of near-infrared rays reflected from the coal; acquiring absorbances of the coal; and acquiring the coal species/property discriminating value of the coal to be discriminated on the basis of said absorbances and a prescribed calibration curve.
  • a coal species discriminating apparatus using near-infrared rays for discriminating coal species on the basis of the discriminating values of coal species/properties corresponding to coal ranks comprising: a measurement head for irradiating a coal to be discriminated with near-infrared rays having different wavelengths and receiving the light of near-infrared rays reflected from said coal to produce a light reception signal corresponding to it; and a controller for acquiring the absorbance of the near-infrared rays on the basis of the received light reflected from said measurement head and said coal species/property discriminating value on the basis of said absorbances and a prescribed calibration curve.
  • a coal species discriminating method comprising the steps: acquiring a distribution of the absorbances of each of coal species on the basis of reflecting beams when a plurality of coal species to be used are irradiated with plural near-infrared rays having different wavelengths; classifying the coal species into a plurality of groups in accordance with the distributions of the absorbances; storing a discriminating equation corresponding to the distance from the boundary partitioning the area of absorbance for two groups in a predetermined combination; receiving the beams of the near-infrared rays reflected from the coal when the coal to be used is irradiated with said near-infrared rays to acquire the absorbance thereof; and successively discriminating one of said two groups which the coal species at issue belongs on the basis of said absorbances and said discriminating equations.
  • the wavelength of said near-infrared rays ranges from 1500 nm - 2400 nm.
  • said near-infrared rays are used as one or plural measurement beams and a single reference beam.
  • the absorbance is acquired as a logarithm of the ratio of each measurement beam to the reference beam
  • said calibration curve is represented as a linear equation including a subordinate variable of said coal species/property discriminating value and an individual variable of each of said absorbances.
  • the coefficients of said linear equation is set by calibration to obtain the coal species/property on the basis of the value of said logarithm and said linear equation.
  • a coal species discriminating apparatus using near-infrared rays in which distributions of the absorbance of a plural species of coal to be used for plural near-infrared rays having different wavelengths are previously acquired, said plural species of coal are classified into a plurality of groups each composed of a set of predetermined coal species in accordance with said distributions, and the species of coal at issue is discriminated on the basis of a discriminating equation corresponding to the distance from the boundary partitioning the distribution areas of absorbance for a two groups in a predetermined combination among said plurality groups, comprising: a measurement head for irradiating a coal with a plurality of near-infrared rays having different wavelengths and receiving the near-infrared rays reflected from the coal to produce a reception signal corresponding to an amount of received rays; and a controller for acquiring the absorbance of the coal for the near-infrared rays on the basis of the received near
  • the discriminating equation will be stored in two groups in a predetermined combination.
  • the coal is irradiated with near-infrared rays to acquire the absorbances of the coal for the near-infrared rays.
  • On the basis of the absorbances and discriminating equation it is decided which group the absorbance belongs to. Then, successive discrimination for every two groups permits the group of the absorbances to be converged and a single coal species to be finally determined.
  • Fig. 1 is a block diagram showing a coal species discriminating apparatus to which the present invention is applied.
  • a measuring head A is located on a conveyer 100 for supplying coal to a boiler (not shown).
  • the measuring head A creates a light beam composed of measuring light exhibiting strong absorption for a specific component in a near-infrared region and reference light difficult to receive the specific component.
  • the measuring head A illuminates coal C with the light beam thus created.
  • the measuring head A detects the light reflected from the coal C and produces a signal from the amount of received light.
  • a controller B displays the discriminating value of the species and property of coal on the basis of the output signal from the measuring head A.
  • the optical system of the measuring head A includes a light source 1, a first collecting lens or condenser lens 2, a disk rotating motor 3, a filter wheel 4, a second collecting lens 5, a reflecting mirror 7, a concave mirror 7, a convex mirror 8 and a light receiving device or photo-detector 9.
  • the light from the light source 1 is collected by the first collecting lens 2 and illuminated on the filter wheel 4.
  • the filter wheel 4 is equipped with interference filters 4a1, 4a2, 4a3, ... ... having a narrow band permeability characteristic at a prescribed wavelength in a near- infrared region of a wavelength band of 1500 nm to 2500 nm.
  • the filters 4a1, 4a2, 4a3, ... successively traverse the light path between the first collecting lens 2 and the second collecting lens 5.
  • the light illuminated on the filter wheel 4 is converted into measuring light and reference light of infrared rays by the filters 4a1, 4a2, 4a3, ... which are in turn illuminated on the coal C through the reflection mirror 6.
  • the light reflected from the coal C is focused by the concave mirror 7 and guided to the photo-detector 9 through the convex mirror 8.
  • the signal having a level corresponding to the amount of received light is supplied to the controller B.
  • a detector 10 for detecting the rotating position of the filter wheel 4 is arranged.
  • the controller B discriminate the voltage signals corresponding to the measuring light and reference light from the filters 4a1, 4a2, 4a3, ... on the basis of the detection signal from the detector 10.
  • the controller B includes an A/D converter circuit 11, CPU 12, memory 13, display device 14 and an operation key 15.
  • the A/D converter circuit 11 converts the voltage signal from the measuring head A into a digital data (hereinafter referred to as "light receiving data") which is read by the CPU 12.
  • the memory 13 stores programs for executing conversion of light absorption, multi-linear regression computation, discrimination of the species and property of coal, input processing, display processing, etc.
  • the CPU performs the processing on the basis of these programs.
  • the converted value of the near-infrared light absorption is acquired from the light receiving data produced from the A/D converter circuit 11.
  • the natural logarithm of R/S(the rate of the received light data S to that of the reference light data R) is acquired as a near-infrared absorption reduced value X.
  • coal species/property was discriminated in terms of the coal rank.
  • the decided values of species/property of coal are correlated with the coal ranks as indicated in Table 1.
  • Table 1 Coal Species/Property Discriminating Value Coal Rank C (%) (d. a. f) 1 60 - 64 (exclusive) 2 64 - 68 (exclusive) 3 68 - 72 (exclusive) 4 72 - 76 (exclusive) 5 76 - 80 (exclusive)
  • the coefficients a 0 - a i in the above equation corresponding to a calibration curve are stored in the memory 13.
  • the reduced values of the near-infrared light absorbance for the coal C on the conveyer 100 are substituted for Equation (1) to effect the discrimination of the species/property of coal.
  • the value of the species/property thus decided is displayed on the display device 14.
  • Fig. 3 is a graph showing the absorbance of the near-infrared rays in a wavelength range from 800 nm to 2500 nm of different coal samples with different values of species/property thereof. It is found that in a range from 1500 nm to 1900 nm, different discriminating values of the species/property do not affect the absorbance thereof so greatly, whereas in a range from 1900 nm to 2500 nm, they greatly affect the absorbance thereof. This means that with the wavelength of measured light set within a range of 1900 nm to 2500 nm, the discriminating value of the species/property of the coal can be acquired in terms of the absorbance of the measured light. Since the reference light should not be affected by an object to be measured, the wavelength range from 1500 nm to 1900 nm is suitable for the reference light.
  • the measurement result of the first experiment is shown in Fig. 4 and Table 2.
  • the coal species corresponding value of the coal species/property discriminating value means the value measured corresponding to the coal rank in Table 1.
  • the output value means a value displayed by a coal species discriminating apparatus.
  • Table 2 Coal Species Coal Species/Property Discriminating Value Coal Species Corresponding Value Output Value (Y) A 4 4.0 B 3 2.8 C 3 2.6 D 2 2.5 E 1 1.7 F 2 1.4
  • the species of coal can be determined from the coal species/property discriminating value. Since the near-infrared rays are used in the present invention, the sensitivity of the photo-detector 9 is high and the reflected light is difficult to be absorbed by water, thus increasing the S/N ratio.
  • the light emitting device used for detection is not sensitive to the intermediate infrared rays due to the thermal radiation so that the affect for the discrimination by the sample temperature and stray light can be reduced when the measuring head A arranged on an on-line.
  • the construction of the coal species/property in the second embodiment is similar to that as shown in Fig. 1.
  • the second embodiment is different from the first embodiment in that programs for the decision and display of coal species are stored in the memory 13 in addition to the program for absorbance reduction.
  • CPU 12 determines the coal species on the basis of these programs and displays it.
  • the construction and operation of the optical system of the measuring head A are similar to those in the first embodiment. Further, in the controller B, the kinds of the voltage signals corresponding to the measurement light and reference light are discriminated by the signal detected by the rotary position detector 10. The voltage signal from the measuring head A is converted into received light data by the A/D converter 11 and read by CPU 12. In the processing of absorbance reduction, the natural logarithm of the rate R/S (S: received light data of measurement light, R: that of reference light) is calculated as an near-infrared absorbance reduced value x.
  • S received light data of measurement light
  • R that of reference light
  • the species of coal sample can be discriminated as follows. On the assumption of a conceptual four-dimensional space with the coordinates of four absorbance reduced values x1, x2, x3 and x4, a single-time measurement for any coal species, i.e., one coal sample corresponds to a one sample point within the four-dimensional space with the coordinates of a set of absorbance reduced values x1, x2, x3 and x4.
  • the absorbance reduced values x1, x2, x3 and x4 have the values corresponding to the coal species.
  • the sample points are located in the corresponding predetermined areas inherent to the coal species, each having an certain extension. These areas are substantially separated from one another so that if the area where the sample point is located is specified, the coal species can be determined.
  • a plurality of coal species are allotted to a plurality of groups, the groups are discriminated from each other, the coal species is discriminated from the group, and a certain coal species at issue is discriminated from the other coal species.
  • Equation (4) The area where the sample point is located can be specified by Equation (4) with variables of the absorbance converted values x1, x2, x3 and x4 and with coefficients of a0, a1, a2, a3 and a4.
  • Z a0 + a1 ⁇ x1 + a2 ⁇ x2 + a3 ⁇ x3 + a3 ⁇ x3 + a4 ⁇ x4
  • the coefficients a0, a1, a2, a3, a4 will be explained later.
  • the distance from the plane expressed by Equation (5) to the sample point corresponding to the absorbance reduced values x1*, x2*, x3* and x4* is Z*/ ⁇ from Equation (6).
  • Definition of the value of ⁇ as a negative or positive value gives a positive or negative value of the distance.
  • the polarity corresponds to a direction.
  • the value Z* of the discriminating equation is proportional to the distance. For this reason, it can be decided which side the sample point is located on, expressed by Equation (5), according to the positive or negative value of the sample point.
  • a plurality of planes (hereinafter referred to as "reference plane") expressed by Equation (5) are assumed as planes dividing areas peculiar to the respective coal species or their groups within the fourth-dimensional space.
  • reference plane a set of coefficients a0, a1, a2, a3 and a4 and the coal species and group to be discriminated are determined.
  • the absorbance reduced values x1, x2, x3, and x4 are sampled for each of plural coal species to be discriminated, and the distribution of the sample points is investigated for each of the coal species. Assuming the average sample point for two areas for each of the coal species or the groups of species, the coefficients a0, a1, a2, a3 and a4 are acquired to divide the two areas with the highest accuracy through the mid point between the average sample points of the two areas. These coefficients are used as those in the discriminating equation (1) to discriminate the region according to the negative or positive polarity. The value Z of zero in the discriminating equation regarded as zero.
  • a dispersion analysis can be used. For example, as seen from Table 4, it is assumed that for two areas, i.e. first group and second group to be divided, the number of the variables corresponding to the absorbance reduced values is p, the number of samples in the first group is n1 and the number of samples in the second group is n2.
  • a0 - (a1 ⁇ x1> [1] + ⁇ + ap ⁇ xp> [1] ) + (a1 ⁇ x1> [2] + ⁇ + ap ⁇ xp> [2] ) 2
  • Fig. 6 is a view showing the procedure of grouping of coal species and discriminating from one another.
  • 17 coal species A to Q are grouped into plural groups constituting a tree structure.
  • the coefficients of each discriminating equation are stored as a table in the memory 13 as shown in Fig. 7.
  • the coefficients of a subsequent equation are selected.
  • the coefficient (a) is selected to decide the polarity of the value Z of the discriminating equation. If it is a coal species A, the processing is completed. If not, the coefficient (b) is selected to effect the discrimination between a group of coal species B to H and another group of coal species I to Q. Likewise, on the basis of the discriminating result, the coefficients (c) to (p) are successively selected to execute the discrimination until a single coal species is finally determined.
  • Fig. 8 is a flowchart showing the operation of the second embodiment.
  • step S1 coal whose species is to be discriminated, which is supplied by a conveyer is irradiated with light.
  • step S2 the coefficients of the first discriminating equation are selected.
  • step S3 the absorbance converted values x1, x2, x3 and x4 are calculated for the respective measurement wavelengths, and these values thus calculated are substituted into the discriminating equation.
  • step S4 it is decided whether or not the coal at issue is determined as a single coal species. If it is not determined, the coefficients of the subsequent equation corresponding to the group to be determined are selected to return to step S3. The above process is repeated. Thus, after the coal at issue is specified as a single coal species in step S4, the determination result is outputted (for example, the coal species is displayed).
  • the coal species at issue is determined in real time in an non-contact manner. For this reason, the present invention can be applied to the coal in an on-line. Since the near-infrared rays are used, the coal species can be decided with high accuracy under reduced influence from stray light, sample temperature, etc.
  • any plural kinds of measurement wavelengths may be used.
  • An increase in the number of kinds of wavelengths improves the accuracy of discrimination.

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  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
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  • Investigating Or Analysing Materials By Optical Means (AREA)
EP97302810A 1996-04-26 1997-04-24 Verfahren und Vorrichtung zur Unterscheidung von Kohlesorten Withdrawn EP0803726A3 (de)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP10760396A JP3268972B2 (ja) 1996-04-26 1996-04-26 炭種性状判別方法
JP107603/96 1996-04-26
JP256150/96 1996-09-27
JP25615096A JP3283766B2 (ja) 1996-09-27 1996-09-27 炭種判別方法

Publications (2)

Publication Number Publication Date
EP0803726A2 true EP0803726A2 (de) 1997-10-29
EP0803726A3 EP0803726A3 (de) 1998-03-25

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EP97302810A Withdrawn EP0803726A3 (de) 1996-04-26 1997-04-24 Verfahren und Vorrichtung zur Unterscheidung von Kohlesorten

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US (1) US5873982A (de)
EP (1) EP0803726A3 (de)
KR (1) KR100239851B1 (de)
TW (1) TW393574B (de)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002035213A1 (en) * 2000-10-26 2002-05-02 Imerys Minerals Limited Processing of inorganic particulate materials
CN104374735A (zh) * 2014-10-24 2015-02-25 中华人民共和国黄埔出入境检验检疫局 煤炭样品中全硫的新型快速检测方法

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2366689C2 (ru) * 2003-12-12 2009-09-10 Коултэк Корпорейшн Методология сухого обогащения перед сжиганием и системы для улучшения характеристик твердого топлива
US8585788B2 (en) * 2006-03-31 2013-11-19 Coaltek, Inc. Methods and systems for processing solid fuel
US8585786B2 (en) * 2006-03-31 2013-11-19 Coaltek, Inc. Methods and systems for briquetting solid fuel
WO2012127615A1 (ja) 2011-03-22 2012-09-27 日本たばこ産業株式会社 膨こう性測定方法
US20160018378A1 (en) * 2013-03-07 2016-01-21 Siemens Aktiengesellschaft Systems and methods for boosting coal quality measurement statement of related cases
CN110688404B (zh) * 2019-08-21 2022-09-20 福能(贵州)发电有限公司 一种入厂煤采样点统计系统

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US4370201A (en) * 1981-06-23 1983-01-25 United States Steel Corporation Process for maintaining coal proportions in a coal blend
DE3533173A1 (de) * 1985-09-13 1987-04-02 Herwig Ganz Verfahren zur oekonomischen bewertung und klassifizierung von kohle, kerogen, bitumen und asphalten in sedimentgesteinen mittels relativer intensitaets-infrarotspektroskopie
US4766551A (en) * 1986-09-22 1988-08-23 Pacific Scientific Company Method of comparing spectra to identify similar materials
US5107118A (en) * 1990-10-01 1992-04-21 Uop Measurement of water levels in liquid hydrocarbon media
US5422483A (en) * 1992-07-31 1995-06-06 Shimadzu Corporation Near infrared analyzer

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Publication number Priority date Publication date Assignee Title
US4591718A (en) * 1983-10-25 1986-05-27 The United States Of America As Represented By The United States Department Of Energy Photothermal method for in situ microanalysis of the chemical composition of coal samples
US5291422A (en) * 1992-01-28 1994-03-01 Sgi International Broadband instrument for nondestructive measurement of material properties

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4370201A (en) * 1981-06-23 1983-01-25 United States Steel Corporation Process for maintaining coal proportions in a coal blend
DE3533173A1 (de) * 1985-09-13 1987-04-02 Herwig Ganz Verfahren zur oekonomischen bewertung und klassifizierung von kohle, kerogen, bitumen und asphalten in sedimentgesteinen mittels relativer intensitaets-infrarotspektroskopie
US4766551A (en) * 1986-09-22 1988-08-23 Pacific Scientific Company Method of comparing spectra to identify similar materials
US5107118A (en) * 1990-10-01 1992-04-21 Uop Measurement of water levels in liquid hydrocarbon media
US5422483A (en) * 1992-07-31 1995-06-06 Shimadzu Corporation Near infrared analyzer

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002035213A1 (en) * 2000-10-26 2002-05-02 Imerys Minerals Limited Processing of inorganic particulate materials
CN104374735A (zh) * 2014-10-24 2015-02-25 中华人民共和国黄埔出入境检验检疫局 煤炭样品中全硫的新型快速检测方法
CN104374735B (zh) * 2014-10-24 2017-06-13 广东德威检验认证有限公司 煤炭样品中全硫的新型快速检测方法

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KR970070994A (ko) 1997-11-07
KR100239851B1 (ko) 2000-01-15
US5873982A (en) 1999-02-23
EP0803726A3 (de) 1998-03-25
TW393574B (en) 2000-06-11

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